{"title":"Trigeminy electrocardiogram spectral characteristics study","authors":"S. Proskurin, Tambov","doi":"10.18137/cardiometry.2023.27.7679","DOIUrl":null,"url":null,"abstract":"This paper presents the results of a study in which the method of ECG decomposition in the time domain (DMTD) was applied, followed by a spectral analysis. A digital signal with trigeminy of the first lead of a standard electrocardiograph was processed. Using digital filtering in time domain, the electrocardiogram (ECG) was cleared of noise, what results the reduction of spurious components by 10-20%. To represent and classify the frequency characteristics throughout the entire processed cardiac signal, the QRS complexes were removed, P and T waves were left unchanged. Due to considerable influence on the spectral analysis sharp peaks of the ECG signal with small characteristic times of the leading and trailing edges, the obtained result differs considerably from the sum of the harmonic components of the smooth part of the signal. The spectral processing reveals peaks at multiple frequencies, 1.6 Hz, 3.2 Hz, 4.7 Hz, corresponding to a smooth function of P and T waves before the appearance of extra systoles. Based on the obtained data, the frequencies corresponding to the peaks of the cardiogram with a stable sinus rhythm were identified. The acquired data represent regular harmonics, which allow adequate quantitative ECG analysis.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiometry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18137/cardiometry.2023.27.7679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the results of a study in which the method of ECG decomposition in the time domain (DMTD) was applied, followed by a spectral analysis. A digital signal with trigeminy of the first lead of a standard electrocardiograph was processed. Using digital filtering in time domain, the electrocardiogram (ECG) was cleared of noise, what results the reduction of spurious components by 10-20%. To represent and classify the frequency characteristics throughout the entire processed cardiac signal, the QRS complexes were removed, P and T waves were left unchanged. Due to considerable influence on the spectral analysis sharp peaks of the ECG signal with small characteristic times of the leading and trailing edges, the obtained result differs considerably from the sum of the harmonic components of the smooth part of the signal. The spectral processing reveals peaks at multiple frequencies, 1.6 Hz, 3.2 Hz, 4.7 Hz, corresponding to a smooth function of P and T waves before the appearance of extra systoles. Based on the obtained data, the frequencies corresponding to the peaks of the cardiogram with a stable sinus rhythm were identified. The acquired data represent regular harmonics, which allow adequate quantitative ECG analysis.
期刊介绍:
Cardiometry is an open access biannual electronic journal founded in 2012. It refers to medicine, particularly to cardiology, as well as oncocardiology and allied science of biophysics and medical equipment engineering. We publish mainly high quality original articles, reports, case reports, reviews and lectures in the field of the theory of cardiovascular system functioning, principles of cardiometry, its diagnostic methods, cardiovascular system therapy from the aspect of cardiometry, system and particular approaches to maintaining health, engineering peculiarities in cardiometry developing. The interdisciplinary areas of the journal are: hemodynamics, biophysics, biochemistry, metrology. The target audience of our Journal covers healthcare providers including cardiologists and general practitioners, bioengineers, biophysics, medical equipment, especially cardiology diagnostics device, developers, educators, nurses, healthcare decision-makers, people with cardiovascular diseases, cardiology and engineering universities and schools, state and private clinics. Cardiometry is aimed to provide a wide forum for exchange of information and public discussion on above scientific issues for the mentioned experts.